Benjamin Reavill

AI Evaluation Engineer $160,000 - $180,000 Remote (US-based)Are you passionate about shaping how AI is deployed safely, reliably, and at scale? This is a rare opportunity to join a mission-driven tech company as their first AI Evaluation Engineer, a foundational role where you’ll design, build, and own the evaluation systems that safeguard every AI-powered feature before it reaches the real world.This organization builds AI-enabled products that directly helps governments, nonprofits, and agencies deliver financial support to people who need it most. As AI capabilities race forward, ensuring these systems are safe, accurate, and resilient is critical. That’s where you come in.You won’t just be testing models, you’ll be creating the frameworks, pipelines, and guardrails that make advanced LLM features safe to ship. You’ll collaborate with engineers, PMs, and AI safety experts to stress test boundaries, uncover weaknesses, and design scalable evaluation systems that protect end users while enabling rapid innovation. What You’ll DoOwn the evaluation stack – design frameworks that define “good,” “risky,” and “catastrophic” outputs.Automate at scale – build data pipelines, LLM judges, and integrate with CI to block unsafe releases.Stress testing – red team AI systems with challenge prompts to expose brittleness, bias, or jailbreaks.Track and monitor – establish model/prompt versioning, build observability, and create incident response playbooks.Empower others – deliver tooling, APIs, and dashboards that put eval into every engineer’s workflow. Requirements:Strong software engineering background (TypeScript a plus)Deep experience with OpenAI API or similar LLM ecosystemsPractical knowledge of prompting, function calling, and eval techniques (e.g. LLM grading, moderation APIs)Familiarity with statistical analysis and validating data quality/performanceBonus: experience with observability, monitoring, or data science tooling

AI Solutions Engineer / AI Solutions Architect - Visual Generative AI $150,000 - $180,000 New York - 3x days WFH We’re partnered with a pioneering enterprise-grade Visual GenAI platform that has been shaping the responsible AI landscape for over five years. Backed by leading global investors and trusted by some of the world’s largest brands, this company is building the infrastructure for the next generation of safe, scalable, and brand-consistent AI-driven products and services. Now, they’re looking for a Technical AI Solutions Engineer / Solutions Architect to help enterprise customers unlock the full value of their platform. You’ll be the bridge between customers and internal teams, ensuring adoption, ROI, and long-term success.You’ll work hands-on with developers, product managers, and technical decision-makers, helping them integrate cutting-edge generative visual AI into their workflows. Why Join?Be part of a category-defining AI company that’s shaping the future of responsible GenAI.Work with globally recognized enterprise clients across multiple industries.Have a direct impact on product evolution through customer insights.Join a team at the forefront of AI innovation with deep expertise in generative visual technologies. What You’ll Be DoingOwn the post-sales relationship with a portfolio of technical enterprise customers.Guide onboarding, technical enablement, and adoption of the platform.Act as a trusted advisor, helping customers translate technical capabilities into business impact.Work directly with client engineering teams to integrate APIs and platform capabilities.Troubleshoot across the stack (APIs, model behaviour, latency, deployment).Lead workshops, demos, and training sessions for technical stakeholders.Gather and translate customer feedback into product improvements.Collaborate with Product, Engineering, Sales, and Support to advocate for customer needs. Requirements:Must-Haves3–6 years in a SaaS technical customer-facing role (Customer Success Engineer, Solutions Engineer, or Technical Account Manager).Proficiency with API integrations, scripting (Python or JavaScript), and cloud platforms (AWS, GCP, or Azure).Strong grasp of machine learning and generative AI fundamentals, especially computer vision.Ability to translate technical capabilities into business value.Proven success supporting technical customers at a B2B SaaS or AI/ML platform company.Excellent communication, relationship management, and organizational skills.Nice-to-HavesHands-on experience with generative models (diffusion, transformers) or visual AI systems.Familiarity with MLOps workflows, model deployment, or on-device inference.Exposure to creative industries (media, marketing, design).Background in data science, software engineering, or applied AI.

Senior Deep Learning Scientist $160,000 - $250,000 Onsite – New Haven, Connecticut A cutting-edge biotech startup is seeking a Senior Deep Learning Scientist to join their team. This innovative company is pioneering a first-of-its-kind platform to conduct preclinical studies, aiming to revolutionize the understanding and treatment of neurological diseases.As a Senior Deep Learning Scientist, you will play a pivotal role in designing and implementing AI models that integrate complex biological signals. You'll be at the forefront of pioneering work in areas such as generative graph representation learning, contributing to the development of novel AI architectures tailored to the intricacies of human brain biology.Key Responsibilities:Design, develop, and deploy state-of-the-art deep learning models for analyzing multi-modal biological data.Develop deep learning architectures incorporating biological inductive biases, and explore generative graph representation learning to uncover novel patterns in brain data.Work closely with bioinformatics, experimental biology, and engineering teams to integrate multi-modal datasets into cohesive AI frameworks.Optimize deep learning pipelines for petabyte-scale datasets and ensure models are scalable on high-performance computing infrastructures.Publish research findings and present at scientific conferences to contribute to the broader AI and biomedical communities. Requirements:PhD or Post-doc in Computer Science, Machine Learning, or a related STEM field with a strong demonstrated track record of applying deep learning to biological problems.The ability to translate conceptual research frameworks into deployable architectures.Comfort working across research and applied implementation.Proven experience with GNNs and an ability to tailor these methods to biological data. Experience with generative graph representation learning is a significant plus.Expertise in PyTorch with the ability to build and deploy scalable models.Familiarity with developing production-quality pipelines, cloud computing, and model deployment best practices.Demonstrated ability to research and implement novel deep learning architectures tailored to complex biological datasets.Experience with high-performance computing (HPC) environments or distributed training techniques for large-scale GNN models. Apply now or reach out to Ben at benjamin@deeprec.ai to learn more!

Applied AI Researcher  $180,000 – 250,000 (DOE) Mountain View – 4x days per week Full-time PositionOur client is well-funded startup backed by top-tier VCs, building a crowdsourced platform to evaluate and benchmark AI models. Users compare model outputs and provide feedback, which is then used to improve model performance and reliability. The platform uniquely combines gamification, user incentives, and blockchain-backed transparency to generate high-quality human preference data at scale, critical for fine-tuning today’s leading AI systems. It’s a fantastic opportunity to work on foundational infrastructure at the intersection of AI, product, and decentralized data. We are recruiting for an Applied AI Researcher possessing deep expertise in contemporary large language model frameworks and demonstrated experience implementing generative AI solutions in production environments. Key ResponsibilitiesMonitor and analyze emerging trends in generative AI and assess their strategic application potentialEvaluate new methodologies and technologies for integration into existing systemsArchitect, develop, and maintain sophisticated LLM-based applicationsManage complete machine learning pipelines encompassing data preprocessing, model development, performance evaluation, and deployment operationsTranslate complex technical concepts for diverse audiences, from technical specialists to business stakeholdersPrepare comprehensive documentation and presentations on research findings and technical decisionsPartner with software engineers, UX designers, and data science teams to deliver innovative AI-powered solutionsContribute to product strategy and technical roadmap development About YouBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related quantitative field – PhD desirable!Minimum 3 years of hands-on experience in machine learning and AI developmentProven track record of successfully deploying AI models in production environmentsExperience with enterprise-scale AI implementationsAdvanced Python abilityExtensive experience with ML frameworks including PyTorch, TensorFlow, NumPy, and JAXDeep understanding of machine learning algorithms, data structures, and optimization techniquesUnderstanding of MLOps practices and deployment strategiesIf you're interested in pushing the boundaries of artificial intelligence and want to work on cutting-edge consumer AI products, apply now and we'll be in touch!

AI Engineer $180,000 – 250,000 (DOE) Mountain View – 4x days per week Full-time PositionOur client is well-funded startup backed by top-tier VCs, building a crowdsourced platform to evaluate and benchmark AI models. Users compare model outputs and provide feedback, which is then used to improve model performance and reliability. The platform uniquely combines gamification, user incentives, and blockchain-backed transparency to generate high-quality human preference data at scale, critical for fine-tuning today’s leading AI systems. It’s a fantastic opportunity to work on foundational infrastructure at the intersection of AI, product, and decentralized data. We are seeking an experienced AI Engineer to join a dynamic engineering team. The successful candidate will possess deep expertise in contemporary large language model architectures and demonstrate proven experience implementing generative AI solutions in production environments. Key ResponsibilitiesArchitect, implement, and maintain LLM applicationsOversee complete ML lifecycle managementHandle data analysis, processing, and model architecture designDevelop training protocols, evaluation metrics, and MLOps infrastructureMonitor and analyze emerging trends in GenAI technologiesEvaluate potential applications of new developments for product enhancementContribute to strategic technical decision-makingPresent technical concepts to diverse audiences with varying technical backgroundsContribute to innovative AI solution development across multiple product areas About YouMinimum 3 years of ML experienceDemonstrated success deploying scalable AI models in production environmentsAdvanced programming capabilities with PythonProficiency with ML frameworks including PyTorch, TensorFlow, NumPy, and JAXExperience with model optimization and deploymentBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or similarPhD or equivalent industry experience preferred Preferred QualificationsPublished research in recognized AI/ML conferences or journalsActive contribution to relevant open-source projectsParticipation in competitive ML platforms (Kaggle, etc.)Engagement with AI/ML professional communitiesPrevious experience in startup or scale-up environmentsIf you're interested in pushing the boundaries of artificial intelligence and want to work on cutting-edge consumer AI products, apply now and we'll be in touch!

Software Engineer (Full stack & AI) Location: Menlo Park, California, United States (On-site)Type: Full-time/permanentIf you're inteerested in building the future of real-time, agent-powered user experiences, then you should explore this opportunity!  As a Software Engineer, you’ll be designing and scaling the infrastructure that fuels cutting-edge research and drives seamless, real-time interactions between users and intelligent agents. This isn’t your average fullstack role, you’ll be hands-on with the systems that support high-concurrency, massive data throughput, and emerging AI use cases. Key ResponsibilitiesArchitect and build backend systems to manage user data and support highly concurrent AI-driven workflows.Partner closely with research, UI/UX, and product teams to deliver seamless, integrated AI experiences.Optimize services for scalability and performance, using strategies like caching, load balancing, and efficient data handling.Monitor and troubleshoot system bottlenecks, ensuring high availability and quick recovery. What You Bring2–5+ years in backend engineering, ideally in AI/LLM-powered environments.Strong fluency in Python, Java, or Go, and modern frameworks.Experience working with SQL/NoSQL databases and big data pipelines.Familiarity with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, CI/CD workflows.Practical knowledge of streaming architectures (WebSockets, SSE).Hands-on AI integration experience: prompt engineering, secure model execution, context management.Excellent problem-solver, communicator, and collaborative teammate. Team & CultureSmall, agile team blending engineering with applied research.US-based, in-person environment with visa sponsorship offered.Rich benefits: medical/dental/vision, life insurance, 401(k), unlimited PTO, relocation assistance.Fluid, ambitious culture with a strong emphasis on ownership and impact. Why You’ll Love Working HereCrafting systems that redefine agent/user interactions.Innovating in a space few have the vision, or freedom, to explore.Positioned for growth, your work here shapes the product and roadmap.Within a hub next to Stanford and deep into the Bay Area’s AI ecosystemApply now if you're ready to build the infrastructure behind intelligent agents changing how the world interacts with technology.

Software Engineer (Full stack & AI) Location: Menlo Park, California, United States (On-site)Type: Full-time/permanentIf you're inteerested in building the future of real-time, agent-powered user experiences, then you should explore this opportunity!  As a Software Engineer, you’ll be designing and scaling the infrastructure that fuels cutting-edge research and drives seamless, real-time interactions between users and intelligent agents. This isn’t your average fullstack role, you’ll be hands-on with the systems that support high-concurrency, massive data throughput, and emerging AI use cases. Key ResponsibilitiesArchitect and build backend systems to manage user data and support highly concurrent AI-driven workflows.Partner closely with research, UI/UX, and product teams to deliver seamless, integrated AI experiences.Optimize services for scalability and performance, using strategies like caching, load balancing, and efficient data handling.Monitor and troubleshoot system bottlenecks, ensuring high availability and quick recovery. What You Bring2–5+ years in backend engineering, ideally in AI/LLM-powered environments.Strong fluency in Python, Java, or Go, and modern frameworks.Experience working with SQL/NoSQL databases and big data pipelines.Familiarity with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, CI/CD workflows.Practical knowledge of streaming architectures (WebSockets, SSE).Hands-on AI integration experience: prompt engineering, secure model execution, context management.Excellent problem-solver, communicator, and collaborative teammate. Team & CultureSmall, agile team blending engineering with applied research.US-based, in-person environment with visa sponsorship offered.Rich benefits: medical/dental/vision, life insurance, 401(k), unlimited PTO, relocation assistance.Fluid, ambitious culture with a strong emphasis on ownership and impact. Why You’ll Love Working HereCrafting systems that redefine agent/user interactions.Innovating in a space few have the vision, or freedom, to explore.Positioned for growth, your work here shapes the product and roadmap.Within a hub next to Stanford and deep into the Bay Area’s AI ecosystemApply now if you're ready to build the infrastructure behind intelligent agents changing how the world interacts with technology.